RTK+PDR fusion positioning for smart phone in complex environment

doi:10.13474/j.cnki.11-2246.2021.370

Abstract

Abstract: For the problem of low positioning accuracy and insufficient anti-jamming capability of smart phones in complex outdoor environments, real time kinematic (RTK) and pedestrian dead reckoning (PDR) algorithms are integrated to position based on raw GNSS observations and built-in IMU data from smart phone in this paper. And the GNSS data from Xiaomi8 and Huawei Mate20X mobile phone are compared and analyzed. The positioning accuracy and stability with the proposed methods are assessed under different observation conditions. The experiment results show that the RTK algorithm can reach a positioning accuracy of 1.8 m and 4.6 m in good and complex observation environment respactively, and the RTK+PDR fusion algorithm can reach a positioning accuracy of 1.2 m and 2.6 m respectively. This positioning accuracy are 50% and 76% higher than that of RTK algorithm. The positioning accuracy and stability of smart phones is improved significantly in complex outdoor environments.

Key words: high-precision positioning, PDR, RTK, smart phone, fusion positioning

CLC Number:

P228

XU Guoliang, LI Zhen, TAO Jun, GUO Jing, ZHAO Qile. RTK+PDR fusion positioning for smart phone in complex environment[J]. Bulletin of Surveying and Mapping, 2021, 0(12): 44-49,98.

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